PentestThinkingMCP is an automated penetration testing framework based on large language models and the MCP protocol. It can plan attack paths through Beam Search and MCTS algorithms, providing step reasoning, tool recommendation, and key path analysis for CTF, HTB, and real - world penetration testing.

The Copus MCP server is a server based on the model context protocol that allows AI assistants to search for and retrieve human-curated content recommendations from the Copus platform. Copus is a discovery platform where real people recommend and explain the value of content, different from algorithm-driven search results. The server provides tools for searching curated content and obtaining detailed information, and is compatible with multiple AI platforms that support MCP.

Spotify Playlist MCP Server, supporting natural - language playlist creation and music recommendation with multiple similarity algorithms, including audio feature analysis and genre matching functions